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dynamic pricing ↔ reinforcement learning

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Reinforcement learning is applied as a computational method to optimize dynamic pricing strategies, as demonstrated in research regarding smart grid energy consumption scheduling [1], [2], and [3].

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A comprehensive overview on demand side energy management ... link.springer.com Springer 2 facts
referenceKim B-G, Zhang Y, Van Der Schaar M, and Lee J-W (2015) explored the use of reinforcement learning for dynamic pricing and energy consumption scheduling in smart grids.
referenceKim B-G, Zhang Y, Van Der Schaar M, and Lee J-W (2015) explored dynamic pricing and energy consumption scheduling using reinforcement learning, published in IEEE Transactions on Smart Grid.